Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
Tech Xplore on MSN
How brain-inspired algorithms could drive down AI energy costs
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
Two leading professors from the University of Surrey’s School of Computer Science and Electronic Engineering have been elected Fellows of the Institute of Electrical and Electronics Engineers (IEEE), ...
Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...
Insurance companies aren't experimenting with AI. They're deploying it at scale across three critical functions that directly ...
The OECD report shows that artificial intelligence is already improving efficiency and access in social security systems ...
Explore adaptive AI SEO tools of 2026. Intelligent, data-driven systems that learn and refine search performance automatically.
How Do Non-Human Identities Enhance Cybersecurity? What role do Non-Human Identities (NHIs) play in strengthening cybersecurity frameworks? With data management experts and cybersecurity specialists ...
New Australian research has identified simultaneous abnormalities across multiple biological systems in people with myalgic ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results